On November 18, 2025, Google officially released Antigravity—a true Agent-first AI development platform / AI IDE.

It's not just a "coding assistant," but an AI worker capable of automatically planning, executing, and verifying entire tasks.

This is a major move by Google in the developer ecosystem following the release of Gemini 3.

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🚀 What is Google Antigravity?

Antigravity = Agent-driven development system + Task orchestration center + Verifiable output mechanism + Local IDE.

Its core positioning can be broken down into:

• A multi-agent collaborative development platform (Manager)

• An AI-powered desktop development environment (Editor)

• A task system that automatically generates "verifiable evidence" (Artifacts)

• An AI framework that supports multiple models (Gemini / Claude / others)

Google's vision is to transform the development workflow from:

"Human-led, AI-assisted"

to:

"AI handles execution, humans supervise and review."

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✨ Core Highlights

1. 🧠 Agent-first Development Paradigm

Antigravity's core design is not an "assistant," but an autonomous agent.

• You can launch multiple agents

• Each agent handles a subtask

• Tasks are automatically coordinated and executed in parallel

• The entire process can be overviewed in the Manager page

This makes Antigravity more like an "AI programmer team" than a chat window.

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2. 🖥️ Dual-View Structure: Editor + Manager

🔧 Editor

Similar to VS Code, but deeply integrated with AI:

• Real-time code analysis

• Automatic test generation

• Execution through local terminal

• Automatic browser invocation for real verification

📊 Manager (Task Manager)

Leads complex task breakdown and orchestration.

You can see:

• Progress of each agent

• Subtask structure tree

• Currently generated artifacts

• Resource consumption and model selection

This significantly improves the controllability of large-scale development tasks.

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3. 📁 Artifacts — Verifiable AI Evidence

This is one of Antigravity's most unique capabilities.

Artifacts include:

• Step plans

• Execution logs

• Browser operation recordings

• Terminal output screenshots

• Generated code snippets

They are all presented in a human-readable format, with an "evidence chain" for every step the AI generates, allowing you to:

• Quickly understand what the agent is doing

• Quickly verify its results

• Quickly audit security risks

This is a major upgrade from traditional AI tool call logs.

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4. 🌐 Multi-Model Support: Not Limited to Gemini

While it defaults to Gemini 3 Pro, Antigravity supports:

• Gemini 3 series

• Claude series

• Open-source models

• Self-hosted models

This allows development teams to flexibly choose the model combination that best suits them based on:

• Cost

• Latency

• Functionality

• Data security requirements

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5. 🖱️ AI That Can Actually Operate Computers (Computer Use)

Antigravity's agents can:

• Open local browsers

• Run development servers

• Click buttons

• Fill forms

• Execute commands

• Complete end-to-end operations

This means:

Agents don't just generate code, but can actually "run" your application and verify it.

Official demos show:

• Automatically building a flight-tracking app

• Automatically opening web pages to verify functionality

• Automatically taking screenshots as artifacts

This goes beyond ordinary IDEs.

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🧩 Technical Structure and Logical Inference

Based on officially released information and media analysis, Antigravity is:

• A desktop application (possibly based on VS Code / Electron / custom architecture)

• Integrated with local toolchains, terminals, and browsers

• Each task coordinated by an Orchestrator managing multiple agents

• Agent "long-term memory" used to reuse past solution fragments

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👍 Advantages: Why It's Worth Attention

1. Significantly Improves Efficiency of Repetitive Tasks

Generate code → Verify → Fix → Verify again

The agent runs the entire loop itself.

2. Better Auditability

Artifacts are far more readable than ChatGPT/Cursor logs.

3. Multi-Model Collaboration

Can switch between different models for development, testing, documentation, and automation scenarios.

4. Better Suited for Team-Level Workflows

Antigravity's Manager view is naturally suited for team collaboration and code reviews.

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⚠️ Limitations and Risks (Early Version)

1. Security Risks (Critical)

Agents can operate:

• Local files

• Terminals

• Browsers

Permissions must be restricted (especially important in organizational environments).

2. Potential Reliability Issues

Multiple agents working in parallel may:

• Modify the same file

• Overwrite tasks

• Experience coordination conflicts

3. Human Review Still Required

Code logic, security vulnerabilities, and performance issues still cannot be completely delegated to agents.

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🆚 Comparison (Cursor / Copilot / VS Code)

Product	Models	Workflow Mode	Features
Antigravity	Gemini 3 / Multi	Agent-first / Multi-agent orchestration	Emphasizes verification and management views
Cursor	OpenAI / Claude	Sidebar + Enhanced editor	Suitable for rapid code iteration
GitHub Copilot	OpenAI	Autocomplete + Chat	Strongest ecosystem, but not agent-first

Antigravity's differentiation lies in:

It's not an interactive assistant, but a task execution system.

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🏁 Who Should Pay Attention to Antigravity?

• Engineers working on frontend / full-stack / mini-programs / WebApps

• Teams building ML toolchains

• Teams requiring automated CI/verification

• Companies looking to improve development asset reuse

• Indie developers looking to reduce repetitive tasks

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📌 Conclusion: A Direction for the Future of Development

Antigravity represents the next stage of AI IDEs:

• Not just autocomplete

• Not just chat programming

• But letting AI handle the work, humans handle supervision

Driven by Gemini 3, Google has provided a more complete and systematic approach to AI development.

In the future, Antigravity may become a new standard for work.